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市場調查報告書
商品編碼
1356783

商業人工智慧市場報告：至2030年的趨勢、預測與競爭分析

Commerce Artificial Intelligence Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

商業人工智慧趨勢和預測

預計到2030年，全球商業人工智慧市場將達到 64 億美元，2024年至2030年年複合成長率為 13.2%。該市場的主要促進因素是工業界對智慧商務的日益偏好以及該技術在不斷擴大的電子商務行業中的日益部署。全球商業人工智慧市場的未來前景廣闊，在客戶關係管理、供應鏈分析、虛假評論分析、商品推銷、倉庫自動化、產品推薦、客戶服務和車隊管理市場方面存在商機。

商業人工智慧市場洞察

Lucintel 預測，由於電子商務在該平台上廣泛使用商業人工智慧來創建有用的商業見解，預計電子商務將在預測期內呈現高速成長。

由於擴大使用機器人來自動化和加速任務，預計倉庫自動化在預測期內將出現高速成長。

由於政府和私營部門對人工智慧技術進步的大量投資以及該地區主要參與者的存在，預計北美在預測期內將出現最高的成長。

本報告回答了 11 個關鍵問題：

  • Q.1.細分市場中最有前途和高成長的機會為何？
  • Q.2.哪個細分市場將以更快的速度成長？理由為何？
  • Q.3.哪些地區未來會出現更快的成長？理由為何？
  • Q.4.影響市場動態的主要因素有哪些？市場的主要挑戰和商業風險是什麼？
  • Q.5.這個市場的商業風險和競爭威脅為何？
  • Q.6.這個市場有哪些新趨勢？理由為何？
  • Q.7.市場客戶需求有何改變？
  • Q.8.該市場有哪些新發展以及哪些公司處於領先地位？
  • Q.9.這個市場的主要企業有哪些？主要企業採取哪些策略配合措施來發展業務？
  • Q.10.該市場上的競爭產品有哪些？由於材料或產品替代而導致市場佔有率下降的威脅有多大？
  • Q.11.過去年度發生了哪些併購事件，對產業產生了哪些影響？

目錄

第1章 執行摘要

第2章 全球商業人工智慧市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球商業人工智慧市場趨勢（2018-2023）與預測（2024-2030）
  • 按平台分類的全球商業人工智慧市場
    • 電子商務
    • 有存貨
  • 依技術分類的全球商業人工智慧市場
    • 深度學習
    • 機器學習
    • NLP
    • 其他
  • 全球商業人工智慧市場（依應用）
    • 客戶關係管理
    • 供應鏈分析
    • 虛假評論分析
    • 商品推銷
    • 倉庫自動化
    • 產品推薦
    • 客戶服務
    • 車隊的管理
    • 其他
  • 全球商業人工智慧市場（依最終用途產業）
    • 零售
    • 電子產品
    • 物流
    • 食品和飲料
    • 其他

第4章 2018-2030年市場趨勢及預測分析（依地區）

  • 全球商業人工智慧市場區域分佈
  • 北美商業人工智慧市場
  • 歐洲商業人工智慧市場
  • 亞太商業人工智慧市場
  • 其他區域商業人工智慧市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球商業人工智慧市場成長機會（按平台）
    • 全球商業人工智慧市場成長機會（依技術）
    • 全球商業人工智慧市場成長機會（依應用）
    • 全球商業人工智慧市場成長機會（依最終用途產業）
    • 全球商業人工智慧市場成長機會（依地區）
  • 全球商業人工智慧市場的新興趨勢
  • 戰略分析
    • 新產品開發
    • 全球商業人工智慧市場容量擴張
    • 全球商業人工智慧市場的合併、收購與合資
    • 認證和許可

第7章 主要企業概況

  • Microsoft
  • SAP
  • Amazon
  • Alphabet
  • IBM
簡介目錄

Commerce Artificial Intelligence Trends and Forecast

The future of the global commerce artificial intelligence market looks promising with opportunities in the customer relationship management, supply chain analysis, fake review analysis, merchandising, warehouse automation, product recommendation, customer service, and fleet management markets. The global commerce artificial intelligence market is expected to reach an estimated $6.4 billion by 2030 with a CAGR of 13.2% from 2024 to 2030. The major drivers for this market are growing preference for smart commercialism in industries and rising deployment of this technology in the expanding e-commerce industry.

A more than 150-page report is developed to help in your business decisions.

Commerce Artificial Intelligence by Segment

The study includes a forecast for the global commerce artificial intelligence by platform, technology, application, end use industry, and region.

Commerce Artificial Intelligence Market by Platform [Shipment Analysis by Value from 2018 to 2030]:

  • E-Commerce
  • In Store

Commerce Artificial Intelligence Market by Technology [Shipment Analysis by Value from 2018 to 2030]:

  • Deep Learning
  • Machine Learning
  • NLP
  • Others

Commerce Artificial Intelligence Market by Application [Shipment Analysis by Value from 2018 to 2030]:

  • Customer Relationship Management
  • Supply Chain Analysis
  • Fake Review Analysis
  • Merchandising
  • Warehouse Automation
  • Product Recommendation
  • Customer Service
  • Fleet Management
  • Others

Commerce Artificial Intelligence Market by End Use Industry [Shipment Analysis by Value from 2018 to 2030]:

  • Retail
  • Electronics
  • Logistics
  • Food and Beverages
  • Others

Commerce Artificial Intelligence Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Commerce Artificial Intelligence Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies commerce artificial intelligence companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the commerce artificial intelligence companies profiled in this report include-

  • Microsoft
  • SAP
  • Amazon
  • Alphabet
  • IBM

Commerce Artificial Intelligence Market Insights

Lucintel forecasts that e-commerce is expected to witness higher growth over the forecast period due to widespread use of commerce AI in this platform to create useful business insights.

Warehouse automation is expected to witness highest growth over the forecast perioddue to growing use of robots in this setting to automate and speed up work.

North America is expected to witness highest growth over the forecast period due to substantial government and private sector investment in the advancement of AI technology and presence of key players in the region.

Features of the Global Commerce Artificial Intelligence Market

Market Size Estimates: Commerce artificial intelligence market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Commerce artificial intelligence market by various segments, such as by platform, technology, application, end use industry and region in terms of($B).

Regional Analysis: Commerce artificial intelligence market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different platforms, technologies, applications, end use industries, and region.s for the commerce artificial intelligence market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the commerce artificial intelligence market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q.1. What is the commerce artificial intelligence market size?

Answer: The global commerce artificial intelligence market is expected to reach an estimated $6.4 billion by 2030.

Q.2. What is the growth forecast for commerce artificial intelligence market?

Answer: The global commerce artificial intelligence market is expected to grow with a CAGR of 13.2% from 2024 to 2030.

Q.3. What are the major drivers influencing the growth of the commerce artificial intelligence market?

Answer: The major drivers for this market are growing preference for smart commercialism in industries and rising deployment of this technology in the expanding e-commerce industry.

Q.4. What are the major segments for commerce artificial intelligence market?

Answer: The future of the commerce artificial intelligence market looks promising with opportunities in the customer relationship management, supply chain analysis, fake review analysis, merchandising, warehouse automation, product recommendation, customer service, and fleet management markets.

Q.5. Who are the key commerce artificial intelligence market companies?

Answer: Some of the key commerce artificial intelligence companies are as follows:

  • Microsoft
  • SAP
  • Amazon
  • Alphabet
  • IBM

Q.6. Which commerce artificial intelligence market segment will be the largest in future?

Answer: Lucintel forecasts that e-commerce is expected to witness higher growth over the forecast period due to widespread use of commerce AI in this platform to create useful business insights.

Q.7. In commerce artificial intelligence market, which region is expected to be the largest in next 5 years?

Answer: North America is expected to witness highest growth over the forecast period due to substantial government and private sector investment in the advancement of AI technology and presence of key players in the region.

Q.8. Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the commerce artificial intelligence market by platform (e-commerce and in store), technology (deep learning, machine learning, NLP, and others), application (customer relationship management, supply chain analysis, fake review analysis, merchandising, warehouse automation, product recommendation, customer service, fleet management, and others), end use industry (retail, electronics, logistics, food and beverages, and others), and region. (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Commerce Artificial Intelligence Market: Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Commerce Artificial Intelligence Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Commerce Artificial Intelligence Market by Platform
    • 3.3.1: E-Commerce
    • 3.3.2: In Store
  • 3.4: Global Commerce Artificial Intelligence Market by Technology
    • 3.4.1: Deep Learning
    • 3.4.2: Machine Learning
    • 3.4.3: NLP
    • 3.4.4: Others
  • 3.5: Global Commerce Artificial Intelligence Market by Application
    • 3.5.1: Customer Relationship Management
    • 3.5.2: Supply Chain Analysis
    • 3.5.3: Fake Review Analysis
    • 3.5.4: Merchandising
    • 3.5.5: Warehouse Automation
    • 3.5.6: Product Recommendation
    • 3.5.7: Customer Service
    • 3.5.8: Fleet Management
    • 3.5.9: Others
  • 3.6: Global Commerce Artificial Intelligence Market by End Use Industry
    • 3.6.1: Retail
    • 3.6.2: Electronics
    • 3.6.3: Logistics
    • 3.6.4: Food and Beverages
    • 3.6.5: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global Commerce Artificial Intelligence Market by Region
  • 4.2: North American Commerce Artificial Intelligence Market
    • 4.2.2: North American Commerce Artificial Intelligence Market by Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Customer Service, Fleet Management, and Others
  • 4.3: European Commerce Artificial Intelligence Market
    • 4.3.1: European Commerce Artificial Intelligence Market by Platform: E-Commerce and In Store
    • 4.3.2: European Commerce Artificial Intelligence Market by Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Customer Service, Fleet Management, and Others
  • 4.4: APAC Commerce Artificial Intelligence Market
    • 4.4.1: APAC Commerce Artificial Intelligence Market by Platform: E-Commerce and In Store
    • 4.4.2: APAC Commerce Artificial Intelligence Market by Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Customer Service, Fleet Management, and Others
  • 4.5: ROW Commerce Artificial Intelligence Market
    • 4.5.1: ROW Commerce Artificial Intelligence Market by Platform: E-Commerce and In Store
    • 4.5.2: ROW Commerce Artificial Intelligence Market by Application: Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Customer Service, Fleet Management, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Commerce Artificial Intelligence Market by Platform
    • 6.1.2: Growth Opportunities for the Global Commerce Artificial Intelligence Market by Technology
    • 6.1.3: Growth Opportunities for the Global Commerce Artificial Intelligence Market by Application
    • 6.1.4: Growth Opportunities for the Global Commerce Artificial Intelligence Market by End Use Industry
    • 6.1.5: Growth Opportunities for the Global Commerce Artificial Intelligence Market by Region
  • 6.2: Emerging Trends in the Global Commerce Artificial Intelligence Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Commerce Artificial Intelligence Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Commerce Artificial Intelligence Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Microsoft
  • 7.2: SAP
  • 7.3: Amazon
  • 7.4: Alphabet
  • 7.5: IBM